Program
Wednesday, October 19, 2022
Time |
Event |
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09:00 - 09:30
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Registration and opening |
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09:30 - 11:30
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Tutorial on Bayesian Hypothesis Testing in the Social Sciences: Rationale, Execution, and Interpretation - Eric-Jan Wagenmakers |
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13:00 - 15:00
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Tutorial on Bayesian Demography - Adrian Raftery |
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15:30 - 17:30
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Tutorial on Bayesian Analysis of Social Networks - Pierre Latouche |
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Thursday, October 20, 2022
Time |
Event |
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09:00 - 09:30
|
James Berger - The Empirical Error of P-values, E-values and Objective posterior probabilities |
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09:30 - 10:00
|
Eric-Jan Wagenmakers - Approximate objective Bayes factors from p-Values and sample size: The 3p \sqrt{n} rule |
|
10:00 - 10:30
|
Zoltan Dienes - Using Bayes to severely test theories |
|
11:00 - 11:30
|
Pierre Latouche - Bayesian Statistics, AI, and networks for the analysis of the last French presidential election |
|
11:30 - 12:00
|
Nial Friel - Bayesian approaches for zero-inflated weighted networks |
|
12:00 - 12:30
|
Sophie Donnet - Bayesian inference for a Poisson Stochastic Blockmodel for weighted social networks |
|
14:00 - 14:30
|
Robin Ryder - Bayesian methods for Historical Linguistics |
|
14:30 - 15:00
|
Zita Oravecz - Bayesian inference for dynamical models of emotion |
|
15:00 - 15:30
|
Maarten Marsman - Structure learning of psychometric networks |
|
16:00 - 18:00
|
Poster session |
|
Time |
Event |
|
09:00 - 09:30
|
Adrian Raftery - Very long-term Bayesian population projections for climate assessment |
|
09:30 - 10:00
|
Peter Smith - A hierarchical Bayesian model for estimating European migration flows |
|
10:00 - 10:30
|
Arkadiusz Wisniowski - Using informative priors in estimating migration |
|
11:00 - 11:30
|
Brendan Murphy - Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel |
|
11:30 - 12:00
|
Julia Haaf - Testing Theories as Ordinal Constraint: A Bayes Factor Approach |
|
12:00 - 12:30
|
Joris Mulder - A latent variable approach for relational data with multiple receivers |
|
14:00 - 14:30
|
Monica Alexander - Jointly Estimating Subnational Mortality for Multiple Populations |
|
14:30 - 15:00
|
Jon Forster - Bayesian methods for mortality forecasting and backcasting |
|
15:00 - 15:30
|
Niamh Cahill - The use of family planning service statistics for informing estimates of projections of modern contraceptive prevalence |
|
16:00 - 16:30
|
Stéphane Robin - Tree-based mixture model for networks and epidemiology |
|
16:30 - 17:00
|
Tiago Peixoto - Disentangling homophily, community structure and triadic closure in networks |
|
17:00 - 17:30
|
Etienne Côme - Contiguity Constrained Bayesian Hierarchical Clustering: regularization path and dendrogram |
|
17:30 - 18:00
|
Andrew Gelman - How should Bayesian methods for the social sciences differ from Bayesian methods for the physical sciences? |
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